gymsOriginal research by AgentMMA

Best UFC Gyms by Win Rate: What the Data Can Prove

The best UFC gyms can post striking win rates, but raw records mislead. See verified camp runs and the fair method needed to rank MMA teams.

Oscar Nascimento
Reviewed by AgentMMA Editorial Team
8 min read
Best UFC Gyms by Win Rate: What the Data Can Prove

Quick answer

No public dataset can name the best UFC gyms with confidence because UFC Stats records fights and actions, not each fighter's camp on fight night. The verified snapshots still show two exceptional runs: Fortis MMA went 35-9 across 2018 and 2019. Fighting Nerds posted 12 wins in 13 UFC appearances during 2024, but that doesn't prove a permanent gym effect. A fair ranking must adjust for opponent quality, betting expectations, roster size, camp changes and small samples.

Data snapshot: Fortis, 44 UFC bouts in 2018-2019; Fighting Nerds, 13 UFC appearances in 2024; Vik Singh, 1,390 historical UFC records in 2011. UFC Stats has results but no camp field.

What do the public numbers say about the best UFC gyms?

The cleanest published figures describe short, hot periods, but they don't form a full UFC gym leaderboard.

Fortis MMA reports a 16-4 UFC record in 2018 and 19-5 in 2019, while MMA Junkie reported the combined 35-9 mark. That works out to a 79.5% win rate across 44 bouts.

MMA Fighting reported a sharper 2024 burst from Fighting Nerds: the Sao Paulo team won 12 of 13 UFC appearances, a 92.3% rate. Caio Borralho, Carlos Prates and Jean Silva were among the unbeaten members, while MMA Fighting counted eight bonuses for the core group.

Camp snapshotUFC scopeWins-lossesRaw win rateSafe conclusion
Fortis MMA, 201820 bouts16-480.0%Excellent single season
Fortis MMA, 201924 bouts19-579.2%Success carried into a second season
Fortis MMA, 2018-201944 bouts35-979.5%Verified multi-season hot run
Fighting Nerds, 202413 appearances12-192.3%Higher rate, much smaller window

These rates show how often credited fighters won in each period; they don't show how often each was expected to win.

That difference matters: a camp of heavy favorites should win often, while a team of underdogs can exceed expectations below 50%.

Has a wider UFC study found a camp effect?

One early analysis tried in 2011, when data scientist Vik Singh scraped 11,886 Sherdog fight records, including 1,390 from the UFC. His rule search found that opponents of Greg Jackson's camp lost 38 of 63 UFC fights, or 60%.

The result sounds persuasive until you read the key: Singh starred findings that cleared his 5% statistical significance test. The camp rule had no star, and he later confirmed that unstarred rules lacked statistical significance.

It is an old, exploratory test that searched many rules, used profile affiliations and skipped adjustments for betting expectations. It offers a useful clue, not a current ranking.

Best UFC Gyms by Win Rate: What the Data Can Prove

Does American Top Team have the strongest long-term case?

American Top Team has the clearest case for sustained recognition, not a verified all-time UFC win-rate title. ATT has won the World MMA Awards' Gym of the Year six times; the award mixes cage success with development beyond the elite level.

That makes the honor broader than a standings table, and it comes from voting rather than an opponent-adjusted model.

The distinction is useful because Fortis and Fighting Nerds have published UFC record snapshots. ATT has repeated industry recognition across rosters and eras, but the two measures answer different questions.

Calling one camp the winner means choosing a definition first. Annual win rate, title wins, ranked fighters, prospect development and longevity produce different lists.

Why do raw UFC gym win rates mislead?

Five data problems can turn a tidy ranking into a false one.

Camp membership changes by fight

Fighters cross-train, move gyms and hire specialist coaches, while a profile page usually shows one current team. It may not show who ran camp three years earlier.

Khabib Nurmagomedov shows the attribution problem because ESPN lists his team as American Kickboxing Academy. A current profile cannot prove that one team handled every historical camp.

Assigning every Khabib bout to one logo can hide coaching input, while splitting one bout across several teams creates another judgment call.

Strong camps recruit strong fighters

A famous gym doesn't receive athletes at random because proven contenders can join for its elite partners and coaches. Their later wins then raise the camp's rate.

That is selection bias: the team may help, but the raw record can't separate coaching from the talent that arrived.

Matchmaking sets different baselines

A 7-3 record can disappoint when all ten athletes are favorites, while 4-6 can impress against much stronger opposition.

Win rate throws away that context, while closing odds offer a useful expectation even though the market isn't perfect. Rankings and recent opponent form can add more context.

One star can dominate a small sample

A compact team can post an eye-catching rate through a few active prospects, and Fighting Nerds' 2024 figure came from only 13 UFC appearances. The run was real, but one extra loss would move the percentage sharply.

Large camps face the opposite issue because their record includes champions, newcomers and late-career veterans. That lowers comparability with a selective room built around a few rising fighters.

Teammate results aren't independent

Camp members share coaches, tactics, partners and schedules, so treating every result as fully separate makes uncertainty look smaller than it is.

Injuries or a coaching change can hit several athletes together, while a new specialist can help several at once. The gym is a cluster, not a bag of unrelated coin flips.

What would a fair UFC camp ranking measure?

A useful study needs fight-level camp history because current directory listings aren't enough. The researcher should freeze each affiliation at the date of the bout.

The basic record would contain the fighter, opponent, event, primary camp, head coach and specialist teams. It should mark short visits and permanent moves separately, while reports, corner teams and interviews can resolve disputed cases.

Then compare results with expectations by adding the pre-bout win probabilities for each camp's fighters. That total becomes expected wins, while actual wins minus expected wins shows overperformance or underperformance.

Suppose five fighters each had a 60% chance, giving their camp three expected wins. A 4-1 result beats expectation by one win, while 3-2 lands exactly on it.

A serious table should publish more than that difference:

  • bouts and unique fighters;
  • raw wins, losses, draws and no contests;
  • expected wins from no-vig closing odds;
  • opponent strength and short-notice status;
  • results by year and weight class;
  • uncertainty ranges and a minimum-sample filter;
  • title fights separated from ordinary bouts.

Use a rolling window as well as an all-time view. Coaches leave and systems change, so a camp's 2018 edge may say little about its 2026 roster.

The ranking should also shrink tiny samples toward the UFC average. That stops a 4-0 newcomer group from jumping above a camp with hundreds of bouts.

Best UFC Gyms by Win Rate: What the Data Can Prove

Can camp data improve UFC predictions?

Yes, but camp name should be a supporting feature that doesn't overrule the fighter-level evidence.

A model can track whether an athlete changed camps, how long the new partnership has lasted and how the team performs against market expectation. Recent results should count more than old ones, while weight class and coaching staff should remain visible.

This feature can leak future information. A final 2024 rate using December results cannot predict a February bout; every input must use only information available before that fight.

Camp reputation can duplicate other variables because elite fighters bring strong records, rankings and betting prices. If the model already sees those signals, the gym label may add little.

This is why a famous corner isn't a pick by itself, but only one piece of context.

How solid is this data?

The bout results are solid because UFC Stats provides official event and fight records. The weak link is historical camp attribution, which UFC Stats does not include.

The academic record doesn't fill that gap: a 2022 systematic review covered 112 MMA studies and 20,784 participants. Its seven research areas included training and tactical analysis, but no opponent-adjusted gym leaderboard. That absence is our reading of the review's scope, not a result tested by its authors.

The Fortis numbers come from MMA Junkie and Fortis MMA's published team history. The Fighting Nerds count comes from MMA Fighting's review of 13 UFC appearances in 2024. World MMA Awards supplies its criteria and winners.

These sources verify the table snapshots but don't provide every camp's results over the same dates. That prevents a fair claim that either team ranked first across the whole UFC.

The published records contain selection bias, era effects and small samples, while fighter movement creates misclassification. Awards add voter judgment, so any exact all-time ranking needs a warning until fight-by-fight affiliation data exists.

FAQ

What is the best UFC gym right now?

No public, opponent-adjusted dataset can identify one best UFC gym right now. Fighting Nerds had a verified 12-1 UFC run in 2024, while larger camps such as American Top Team have a longer record of industry recognition.

Which UFC gym has the highest win rate?

There is no complete official UFC gym win-rate table. Published snapshots show Fighting Nerds at 12-1 in 2024 and Fortis MMA at 35-9 across 2018-2019, but their time windows and roster sizes differ.

Does joining a famous MMA camp make a fighter better?

It can improve coaching, sparring and preparation, but raw records can't prove the camp caused better results. Strong gyms also attract strong fighters, which creates selection bias.

Which camp trained Khabib Nurmagomedov?

ESPN lists Khabib Nurmagomedov with American Kickboxing Academy. A current profile cannot prove that the same team handled every camp across his full career.

How should the best MMA camps be ranked?

Rank camps by fight-date affiliations, actual wins versus expected wins, opponent quality and sample uncertainty. Publish raw win rate too, but don't treat it as proof of coaching quality.

Sources & further reading

Peer-reviewed studies and primary data behind this analysis.

  1. UFC Stats: completed events (www.ufcstats.com)
  2. MMA Fighting: Fighting Nerds 2024 run (www.mmafighting.com)
  3. MMA Junkie: Fortis MMA gym of 2022 (www.yahoo.com)
  4. Fortis MMA: published team history (www.fortismma.com)
  5. Vik Singh: historical UFC data analysis (partyondata.com)
  6. World MMA Awards: criteria and winners (www.worldmmaawards.com)
  7. Bueno et al.: systematic review of MMA (www.mdpi.com)
  8. ESPN: Khabib Nurmagomedov profile (www.espn.com)

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